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Characterization and transferability of microsatellites for the Kangaroo Paw, Anigozanthos manglesii (Haemodoraceae).
Ayre, Bronwyn M; Anthony, Janet M; Roberts, David G; Allcock, Richard J N; Krauss, Siegfried L.
Afiliação
  • Ayre BM; School of Biological Sciences, University of Western Australia, 35 Stirling Highway, Crawley, Western Australia 6009, Australia.
  • Anthony JM; Botanic Gardens and Parks Authority, Kattidj Close, Kings Park, Perth, Western Australia 6005, Australia.
  • Roberts DG; School of Biological Sciences, University of Western Australia, 35 Stirling Highway, Crawley, Western Australia 6009, Australia.
  • Allcock RJN; Botanic Gardens and Parks Authority, Kattidj Close, Kings Park, Perth, Western Australia 6005, Australia.
  • Krauss SL; Botanic Gardens and Parks Authority, Kattidj Close, Kings Park, Perth, Western Australia 6005, Australia.
Appl Plant Sci ; 5(8)2017 Aug.
Article em En | MEDLINE | ID: mdl-28924516
PREMISE OF THE STUDY: Microsatellites were developed for the future assessment of population genetic structure, mating system, and dispersal of the perennial kangaroo paw, Anigozanthos manglesii (Haemodoraceae), and related species. METHODS AND RESULTS: Using a Personal Genome Machine (PGM) semiconductor sequencer, ca. 4.03 million sequence reads were generated. QDD pipeline software was used to identify 190,000 microsatellite-containing regions and priming sites. From these, 90 were chosen and screened using PCR, and 15 polymorphic markers identified. These sites amplified di-, tri-, and pentanucleotide repeats with one to 20 alleles per locus. Primers were also amplified across congeners A. bicolor, A. flavidus, A. gabrielae, A. humilis, A. preissii, A. pulcherrimus, A. rufus, and A. viridis to assess cross-species transferability. CONCLUSIONS: These markers provide a resource for population genetic studies in A. manglesii and other species within the genus.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article